Applied Research Scientist
Location: Barcelona
Department: Research & Engineering
Location Type: HYBRID
Employment Type: FULL_TIME
About the Role
Responsibilities
- Innovate and refine evaluation methods that assess LLMs along multiple alignment dimensions.
- Create robust techniques for synthetic data augmentation to enhance the assessment of LLMs.
- Develop streamlined approaches for aligning LLMs through supervised fine-tuning and preference optimization.
- Document research projects, progress, and experimentation results and share findings with the broader team.
- Work closely with the product development team to transform research insights into actionable AI solutions and strategies for the Alinia Platform.
- Keep up-to-date with the latest trends and developments in LLM evaluation, alignment, optimization, and related technologies.
Requirements
- MSc in Computer Science, AI, Linguistics, or a related field.
- Proven experience in LLMs, ML, or NLP.
- Demonstrated research capability with publications in reputable AI, ethics, or machine learning conferences and journals.
- Strong programming skills in Python.
- Experience with ML frameworks such as TensorFlow, PyTorch, or JAX.
- PhD in Computer Science, AI, Linguistics, or a related field.
- Contributions to open-source projects or public datasets in the field of AI.
- First-author publications at peer-reviewed AI conferences.
Why Join Alinia?
- Cutting-edge tech: Work on one of the most important challenges in AI—alignment, safety, and trust
- High ownership & growth: Be a core part of the early engineering team with massive upside
- Flexible work: Hybrid or remote work, with preference for CET time zone
- Collaborative culture: Small, experienced, mission-driven team
- Impact: Directly shape the technical foundation of an AI governance platform adopted by enterprises
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